market intelligence for real probabilities

we compare polymarket with leading bookmakers — no tips, just math.

How it works

Every price is a mirror of fear, conviction, and bias. polyquant measures that distortion — the gap between perception and probability.

ingest

collect polymarket orderbooks alongside bookmaker odds snapshots. markets mirror collective sentiment — we capture both sides of that reflection.

normalize

convert all raw odds into fair implied probabilities by removing bookmaker margin (vig). this reveals the unbiased consensus. fair_pᵢ = (1 / oddsᵢ) / Σⱼ(1 / oddsⱼ)

compare

highlight edges — where polymarket deviates from the bookmaker consensus. that gap is the signal: emotion versus math.

Roadmap

demo bot launch

internal prototype for live market parsing and Telegram interaction. validated core data flow.

edge leaderboard build

automated aggregation of probabilities and real-time ranking by edge strength.

release

public launch of polyquant.io — analytics interface, leaderboard, and backend sync.

odds tracking

submit a match to watch; we subscribe it to the feed. every bookmaker odds change triggers a push — timestamp, book, and new implied probability.

buy/sell limits monitoring

place a limit order and get fill alerts. we notify on partial/total fills with filled size, remaining size, and average execution price.

FAQ

Quick answers to the questions we hear most about polyquant and the bookmaker comparisons.

what is an edge?
it’s the difference between polymarket’s implied probability and the bookmaker’s fair probability after removing the vig. positive edges show where sentiment misprices reality.
do you give advice?
no — polyquant doesn’t give tips or predictions. we surface probabilities, not opinions. you interpret the signal.
how fresh is the data?
the leaderboard refreshes automatically every 60 seconds. all edges are recalculated continuously using both data sources.
why compare polymarket and bookmakers?
bookmakers use structured models and margins; polymarket reflects sentiment and bias. comparing the two exposes where emotion bends probability.
is this about betting?
no — it’s about measuring distortion. understanding how collective belief diverges from mathematical expectation. information is the new liquidity.